Bayesian Algorithmic Decoding of Acceleration and Speed Software (BADASS)

• Published in: Software impacts Vol. 10; p. 100125
• Main Authors: Wirtshafter, Hannah S., Wilson, Matthew A.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2021
• Subjects: Bayesian probability; Decoding; Entorhinal cortex; Grid cells; Hippocampus; Lateral septum; Neuroscience; Place cells; Replay; Place cells; Neuroscience; Entorhinal cortex; Replay; Lateral septum; Grid cells; Bayesian probability; Decoding; Hippocampus
• ISSN: 2665-9638; 2665-9638
• DOI: 10.1016/j.simpa.2021.100125

An important question in neuroscience is how the brain encodes the environment and the self, and how accurate these codes are. Bayesian decoding techniques have been used to determine the position of an animal based on neuron spike rate in the brain’s hippocampus. In this software package, Bayesian Algorithmic Decoding of Acceleration and Speed Software (BADASS), we expand on existing decoding algorithms to decode speed and acceleration using cell spiking. BADASS can be used to determine the extent of speed and acceleration coding in different brain regions during movement, as well as during periods of memory consolidation and planning. •Spike rate of neurons in the brain can be used to decode information about an animal.•Speed/acceleration are represented in brain areas, including lateral septum and entorhinal cortex.•This software (BADASS) allows for Bayesian decoding of speed and acceleration.•BADASS can also be used to determine if speed/acceleration coding precedes or follows movement.